Analysis of Program Representations Based on Abstract Syntax Trees and Higher-Order Markov Chains for Source Code Classification Task

Analysis of Program Representations Based on Abstract Syntax Trees and Higher-Order Markov Chains for Source Code Classification Task

In this paper we consider the research and development of classifiers that are trained to predict the task solved by source code. Possible applications of such task detection algorithms include method name prediction, hardware–software partitioning, programming standard violation detection, and sema...

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Bibliographic Details
Main Authors: Artyom V. Gorchakov, Liliya A. Demidova, Peter N. Sovietov
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Future Internet
Subjects:
program classification
Markov chains
abstract syntax trees
task classification
static analysis
k-nearest neighbor
Online Access:https://www.mdpi.com/1999-5903/15/9/314

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https://www.mdpi.com/1999-5903/15/9/314

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